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Statistical Analysis of Floating-Car Data: An Empirical Study

In: Traffic and Granular Flow’05

Author

Listed:
  • M. Ebrahim Fouladvand

    (Zanjan University, Department of Physics
    Institute for Studies in Theoretical Physics & Mathematics (IPM), Department of Nano-Science)

  • Amir H. Darooneh

    (Zanjan University, Department of Physics)

Abstract

Summary We present results of a statistical analysis of empirical floating-car data. Our investigations are based on analyzing the time series of four basic quantities namely velocity, velocity difference, spatial gap and the acceleration associated to some instrumented cars. We try to identify the moving phases of the instrumented vehicle according to the statistical properties of its velocity time series. Moreover, by exploring the two-point joint probabilities, we propose a new approach for modelling vehicular dynamics based on the floating car data.

Suggested Citation

  • M. Ebrahim Fouladvand & Amir H. Darooneh, 2007. "Statistical Analysis of Floating-Car Data: An Empirical Study," Springer Books, in: Andreas Schadschneider & Thorsten Pöschel & Reinhart Kühne & Michael Schreckenberg & Dietrich E. Wol (ed.), Traffic and Granular Flow’05, pages 699-708, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-47641-2_68
    DOI: 10.1007/978-3-540-47641-2_68
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